Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis

OAMF Alnaggar, BN Jagadale, MAN Saif… - Artificial Intelligence …, 2024 - Springer
In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …

Classification of breast tumors based on histopathology images using deep features and ensemble of gradient boosting methods

MR Abbasniya, SA Sheikholeslamzadeh… - Computers and …, 2022 - Elsevier
Breast cancer is the most common cancer among women worldwide. Early-stage diagnosis
of this disease can significantly improve the efficiency of treatment. Computer-Aided …

Computer based diagnosis of some chronic diseases: a medical journey of the last two decades

S Malakar, SD Roy, S Das, S Sen… - … Methods in Engineering, 2022 - Springer
Disease prediction from diagnostic reports and pathological images using artificial
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …

Nuclei segmentation using attention aware and adversarial networks

E Goceri - Neurocomputing, 2024 - Elsevier
Accurate segmentation of nuclei plays a critical role in pathology since assessments and
diagnoses are mainly based on the recognition, measurement, and counting of nuclei …

FabNet: A features agglomeration-based convolutional neural network for multiscale breast cancer histopathology images classification

MS Amin, H Ahn - Cancers, 2023 - mdpi.com
Simple Summary Histology sample images are usually diagnosed definitively based on the
radiologist's extensive knowledge, yet, owing to the highly gritty visual appearance of such …

Discrimination of Healthy and Cancerous Colon Cells Based on FTIR Spectroscopy and Machine Learning Algorithms

M Lasalvia, C Gallo, V Capozzi, G Perna - Applied Sciences, 2023 - mdpi.com
Colorectal cancer was one of the most frequent causes of death due to cancer in 2020.
Current diagnostic methods, based on colonoscopy and histological analysis of biopsy …

Assessing Breast Cancer through Tumor Microenvironment Mapping of Collagen and Other Biomolecule Spectral Fingerprints─ A Review

DP Chohan, S Biswas, M Wankhede, P Menon, AK… - ACS …, 2024 - ACS Publications
Breast cancer is a major challenge in the field of oncology, with around 2.3 million cases
and around 670,000 deaths globally based on the GLOBOCAN 2022 data. Despite having …

Wwfedcbmir: world-wide federated content-based medical image retrieval

Z Tabatabaei, Y Wang, A Colomer, J Oliver Moll… - Bioengineering, 2023 - mdpi.com
The paper proposes a federated content-based medical image retrieval (FedCBMIR) tool
that utilizes federated learning (FL) to address the challenges of acquiring a diverse medical …

Applications of deep learning for drug discovery systems with bigdata

Y Matsuzaka, R Yashiro - BioMedInformatics, 2022 - mdpi.com
The adoption of “artificial intelligence (AI) in drug discovery”, where AI is used in the process
of pharmaceutical research and development, is progressing. By using the ability to process …

[HTML][HTML] Multiscale approach to provide a better physicochemical description of women breast microcalcifications

M Petay, M Cherfan… - Comptes …, 2022 - comptes-rendus.academie-sciences …
Résumé Despite the incidence of breast cancer among women, mammography and
anatomopathology investigations are still the gold standard method for preventive screening …